taste-skill-image-to-code-skill

Generates website section design images, analyzes them, then implements matching frontend code.

Updated Sep 23, 2026
One-click install
npx skills add https://github.com/ehadziabdic/WAgents --skill taste-skill-image-to-code-skill-ehadziabdic
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: taste-skill-image-to-code-skill
Source: https://github.com/ehadziabdic/WAgents/tree/main/opencode/skills/taste-skill-image-to-code-skill
Command: npx skills add https://github.com/ehadziabdic/WAgents --skill taste-skill-image-to-code-skill-ehadziabdic

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? AI-generated websites often collapse into generic layouts with unreadable mockups, nested card clutter, and design drift between the visual concept and the coded result. This Skill enforces an image-first workflow where design reference images are generated, deeply analyzed, and faithfully translated into frontend code. ## Core Features & Use Cases - Image-First Workflow: Mandates generating section-specific design images before any coding, with one large readable image per website section instead of compressed multi-section boards. - Deep Design Extraction: Systematically analyzes typography, spacing, colors, buttons, and component logic from generated images before implementation. - Anti-Drift Implementation: Preserves layout rhythm, spacing generosity, and visual identity during coding, avoiding generic templates and nested-box clutter. - Use Case: When asked to build a premium landing page with hero, features, testimonials, and pricing sections, the Skill generates four separate section images, extracts the design system from each, then implements a faithful frontend. ## Quick Start Use the image-to-code skill to design and build a premium 8-section landing page for a startup product.

Frequently Asked Questions about taste-skill-image-to-code-skill

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I convert a website design image into frontend code?▼

Generate section-specific design images first, then deeply analyze each image for typography, spacing, colors, buttons, and layout logic. Implement the frontend only after extraction, preserving the visible design language instead of drifting into generic templates.

How many images should I generate for a multi-section website?▼

Generate one large readable image per section: four sections means four images, eight sections means eight images. Add extra detail or extraction images when text, buttons, or spacing are too small to analyze reliably.

Should I crop sections out of a full-page design image?▼

No. Cropping destroys spacing accuracy, type scale relationships, and layout proportions. Generate a fresh standalone image for each section or detail view while keeping the same palette, typography mood, and component family.

When is image generation not required before coding?▼

Direct coding is acceptable when the task is mostly technical, such as a bug fix, when the user provides a precise design system, or when the work is structural rather than visual. Visual tasks like heroes and landing pages require image-first workflow.

Why does my coded website look generic compared to the design image?▼

This is design drift, caused by simplifying into default templates, compressing generous spacing, or flattening typography. Follow the references closely, preserve section ordering and spacing rhythm, and regenerate unclear sections as fresh images instead of guessing.